class_docstr: an unassuming Transformer block
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = x + self.attn(self.ln1(x))
      x = x + self.mlp(self.ln2(x))
      return x
  
imports: import math
  from dataclasses import dataclass
  from typing import Optional, Tuple
  import torch
  import torch.nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the Block obj's underlying member method code with example usage: obj.forward(x) and returns: x